Investigates fundamental concepts & recent developments in computer vision & describes the representations & mechanisms that allow image information & prior knowledge to interact in image understanding.
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action algorithm angle applied approximation array Artificial Intelligence axis basic boundary boundary representation clauses clique color complex component computer vision constraints context coordinates correlation corresponding curve data base defined derived described detection direction domain edge detection equation example Fourier frame function geometric given goal gradient graph gray levels gray-level heuristic Hough transform hypotheses IEEE inference input interpretation intersection knowledge knowledge representation labels linear matching matrix measure method motion nodes objects operator optical flow parameters pattern Pattern Recognition pixels plane planning polyhedral predicate predicate logic primitives problem Proc procedure production projection properties quad tree region representation represented rules scene Section segmentation semantic semantic nets shape shown in Fig shows solid space spatial spherical harmonics surface normal techniques template texels texture theorem three-dimensional tion transform tree two-dimensional values vector vertex vertices vision system visual